摘要
基于郑州市近几年新建住宅微观数据,首先分析了新建住宅价格的空间相关模式及空间集聚性,发现郑州市新建住宅价格存在着明显的空间依赖性,并且空间相关模式具有区域异质性;通过空间效应检验判断,空间滞后效应较为明显,对于新建住宅价格的影响在空间维度上非常显著,也是最重要的因素。通过空间计量模型分析发现,空间溢出效应和交通可达性也是不容忽视的影响因素;在模型选取上,从拟合优度和极大似然值等判断,空间杜宾模型(SDM)是四种模型中拟合最优的模型;最后本文建议政府部门在进行房地产政策选择和价格调控措施时,必须充分考虑到空间作用机制对于新建住宅价格的空间异质效应。
This article, which is based on micro data of building new housing in Zhengzhou city in nearly years, analyzes the spatial correlation model and spatial clustering and finds that there is a clear spatial dependent in the housing prices and spatial correlation patterns have space heterogeneity; the paper judges that the spatial lagged effect shows more apparent by diagnostics for spatial effect, while judges that the spatial Durbin model is the optimum fitting in the 4 models by goodness of fit and maximum likelihood; at the same time, the research analyses shows that spatial lagged effect is very significant for the housing prices in the spatial dimension and is the most important factor by analyzing all the influencing factors, while the paper concluded that the spatial spillover effect and the transportation accessibility should not be ignored. At last, the study suggests that the government department must make a liberal allowance for spatial interaction mechanism has a spatial heterogeneity effect on new building prices when choosing the real estate policy and making controls on the prices.
出处
《经济地理》
CSSCI
北大核心
2014年第1期69-74,88,共7页
Economic Geography
基金
教育部人文社会科学研究规划基金项目(11YJA790034)
中央高校基本科研业务费专项资金(12SSXT115)
